L

LLMs

Robot Framework test harness for LLM evaluation — deterministic grading, containerized execution, multi-model comparison, safety testing, test history, and CI/CD-native.

Rust implementation of the Agent2Agent (A2A) Protocol (https://a2a-protocol.org/), an open standard designed to enable seamless communication and collaboration between AI agents.

Convert OpenAPI and Postman to Wrekenfile and break down to mini-wrekenfiles for LLM context

🔎 Type @you in browser address bar to get results from You.com AI

🔎 Type @brave in browser address bar to get results from Brave AI

🛒 AI chat & product/category summaries in Amazon shopping, powered by the latest LLMs

🤖 AI chat & search summaries in Google Search, powered by the latest LLMs

💬 Epic prompts to turbo-charge your LLM chatbots.

cli llm chat client written in nim with support of ollama and openai

A unified Python interface to select and use multiple Large Language Model (LLM) providers through a common API.

Firefox extension that shows a prompt, chat history and gives the ability to interact with large language models which can could be on the web or hosted locally.

Graphical command line interface tool for OpenRouter for interacting with LLM's hosted on the web.

Django application to build and maintain chatbots that combine the best of LLMs and rule-based engines to truly assist your users instead of manipulating them.

Perplexity Model Watcher is a Chrome extension that gives you transparency into which AI model Perplexity actually uses for your queries. Read why this is needed. Get instant visual feedback on model matches and mismatches by automatically intercepting network responses, ensuring you receive the AI experience you expect and paid for.

Projet de détection de fake news utilisant une architecture Retrieval-Augmented Generation (RAG).

Le système compare un article avec une base de données vectorielle d’articles de référence afin de prédire un verdict (TRUE / FAKE / UNCERTAIN) et générer une justification avec un LLM local.

Pipeline :

Prétraitement et découpage du texte Génération d’embeddings (Ollama) Stockage dans ChromaDB Recherche des passages similaires Vote majoritaire pour le verdict Génération d’explication avec un LLM

Technologies : Python, Ollama, ChromaDB, scikit-learn, pytest.

Projet réalisé dans le cadre de la formation Développeur en Intelligence Artificielle (Simplon).

Deterministic Reasoning Framework (DRF)

A framework for Trustworthy AI in Critical Decision Making

The Deterministic Reasoning Framework (DRF) is a command-line experimental tool designed to demonstrate a fundamental thesis in AI safety and reliability: critical decision-making tasks involving classification or ranking should not rely on pure LLM reasoning due to its stochastic and non-reproducible nature.

LLM Workflow Router is a stateless middleware engine designed to enforce explicit execution topology in AI systems that rely on large language models. It evaluates interaction metadata against strictly declared workflow rules and returns a terminal state.